Controllers, controlling methods, and controlling systems for smart homes
AssigneeCommander Smart Home, Inc.
InventorsHaofei Shi, Xiaoda Hu, Daojie Lin
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Abstract
Embodiments of the present disclosure relates to the field of smart homes, specifically relating to a controller, a control method, and a control system for a smart home. The controller includes an interaction module and a communication module. The interaction module includes at least one of a button unit and a sliding unit. The controller is configured to: obtain a control command based on the interaction module, and upload the control command to a control server via the communication module, wherein the control command is configured to control a target smart home device.
Claims18
A controller for a smart home, comprising an interaction module and a communication module, wherein the interaction module includes at least one of a button unit and a sliding unit, and the controller is configured to:
- obtain a control command based on the interaction module;
- and
- upload the control command to a control server via the communication module, wherein the control command is configured to control a target smart home device;
- wherein the controller is further configured to:
- determine the target smart home device from a plurality of smart home devices based on operational data of a user;
- and
- determine an adjustment range and an adjustment sensitivity of the sliding unit based on a current parameter value and a parameter value distribution of the target smart home device, wherein to determine the adjustment sensitivity, the controller is further configured to:
- determine the adjustment sensitivity of the sliding unit based on the current parameter value of the target smart home device, the parameter value distribution of the target smart home device, a signal strength feature of a current location of the controller, and a risk of a circuit or device abnormality in a future time period, wherein the risk of the circuit or device abnormality in the future time period is determined through an abnormality prediction model, and the abnormality prediction model is a machine learning model.
A control method for a smart home, performed by a controller comprising an interaction module and a communication module, wherein the interaction module includes at least one of a button unit and a sliding unit, and the control method comprises:
- obtaining a control command based on the interaction module, wherein the control command is configured to control a target smart home device;
- and
- uploading the control command to a control server via the communication module;
- wherein the control method further comprises:
- determining the target smart home device from a plurality of smart home devices based on operational data of a user;
- and
- determining an adjustment range and an adjustment sensitivity of the sliding unit based on a current parameter value and a parameter value distribution of the target smart home device, wherein the determining the adjustment sensitivity includes:
- determining the adjustment sensitivity of the sliding unit based on the current parameter value of the target smart home device, the parameter value distribution of the target smart home device, a signal strength feature of a current location of the controller, and a risk of a circuit or device abnormality in a future time period, wherein the risk of the circuit or device abnormality in the future time period is determined through an abnormality prediction model, and the abnormality prediction model is a machine learning model.
A control system for a smart home, comprising a controller, a control server, a collaborative server, a smart home cloud server, and a plurality of smart home devices connected sequentially, wherein the controller includes an interaction module and a communication module, wherein the interaction module includes at least one of a button unit and a sliding unit, wherein
- the controller is configured to obtain a control command based on the interaction module and upload the control command to the control server via the communication module, wherein the control command is configured to control a target smart home device;
- the control server is configured to format the control command to obtain command data and transmit the command data to the collaborative server;
- the collaborative server is configured to transmit the command data to the smart home cloud server;
- the smart home cloud server is configured to, based on the command data, control the target smart home device among the plurality of smart home devices to execute a responsive operation;
- and
- the plurality of smart home devices are configured to feedback a control result to the smart home cloud server based on an execution result of the responsive operation;
- wherein the controller is further configured to:
- determine the target smart home device from the plurality of smart home devices based on operational data of a user;
- and
- determine an adjustment range and an adjustment sensitivity of the sliding unit based on a current parameter value and a parameter value distribution of the target smart home device, wherein to determine the adjustment sensitivity, the controller is further configured to:
- determine the adjustment sensitivity of the sliding unit based on the current parameter value of the target smart home device, the parameter value distribution of the target smart home device, a signal strength feature of a current location of the controller, and a risk of a circuit or device abnormality in a future time period, wherein the risk of the circuit or device abnormality in the future time period is determined through an abnormality prediction model, and the abnormality prediction model is a machine learning model.
Dependencies are inferred from the claim text.